Esta coleção reúne imagens ópticas adquiridas pelos sensores WFI (Wide Field Imager), embarcados nos satélites do INPE: CBERS-4, CBERS-4A e AMAZONIA-1. As imagens referem-se às regiões de Franca (SP), Franca Nordeste (SPNE) e partes da Amazônia brasileira, com destaque para o monitoramento de áreas naturais, queimadas, cobertura de nuvens e corpos hídricos. Os arquivos seguem um padrão de nomenclatura que codifica informações como a localidade (ex.: Franca_AMAZONIA, Franca_SP), o sensor utilizado, a data da imagem (AAAAMMDD), órbita / ponto, o nível de processamento (ex.: L4), composições espectrais (ex.: BAND4321, BAND16151413) e tipo de processamento (ex.: RegAWFI). Os dados estão disponíveis nos formatos .tif e .png.

This land cover classification refers to a study area in Mato Grosso state, in the Cerrado biome. For this map, the CBERS-4/WFI monthly data cube was used, with a spatial resolution of 64 meters, using the best pixel composition function named as Least Cloud Cover First (LCF), which was previously named Stack in BDC older versions. This experiment uses the time series of an agricultural calendar year, from September 2018 to August 2019, extracted from the CBERS-4/WFI data cube. The input datacube was CBERS-4 (WFI) Cube Identity - v001, which was deprecated. The classification was made using 852 samples (Annual Crop: 257; Natural Vegetation: 245; Pasture: 216; Semi-Perennial Crop: 134) and the following data cube bands: bands red, green, blue, and near-infrared along with the EVI, NDVI, GEMI, GNDVI, NDWI2, PVR indices. We trained a multi-layer perceptron for a deep learning classification network to classify the data cube using sits R package. This product was funded by the Brazilian Development Bank (BNDES).

The MODIS-Aqua Monthly Remote Sensing Reflectance (Rrs, unit sr-1) provides 8 spectral bands temporal resolution of one month and spatial resolution of 1 km over the Brazil oceanic waters and open ocean South Atlantic waters. This collection captures 7 visible, and 1 infrared channels using Level-1A images acquired from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard the NASA's Aqua satellite. The Level-1A data were processed into Level-1B and GEO using the Data Processing Tools (modis_L1B) from SeaWiFS Data Analysis System (SeaDAS) software. The Level-1B and GEO data were applied in the atmospheric correction OC-SMART (Fan et al., 2021) by the National Institute for Space Research (INPE, Brazil) and the Laboratoire d'Océanologie et de Géosciences (LOG, France) generating the Level-2 data. The Level-2 data has been mosaicked to generate daily maps capturing the complete Brazilian ocean waters. The daily mosaic data were reprojected to geographical (lat/lon) coordinates using as reference the European Space Agency (ESA) Ocean Colour - Climate Change Initiative (OC-CCI) into Level-3 grid. Both, the mosaic and the reprojection were done using the Sentinel Application Platform (SNAP) on its version 10. Finally, the daily reprojected data were temporal merged to create the monthly Rrs products using the geometric mean.

CBERS-4/PAN10M - Level-4 Digital Number. L4 product provides orthorectified images.

This collection contains images from the WFI sensor onboard the satellites CBERS-4, CBERS-4A and AMAZONIA-1 over Brazil. The data is processed by the Disasters Charter and provided as Cloud Optimized GeoTIFF (COG). This products has four spectral bands: Blue, Green, Red and NIR.

Earth Observation Data Cube generated from CBERS-4/WFI Level-4 SR product over Brazil extension. This dataset is provided in Cloud Optimized GeoTIFF (COG) file format. The dataset is processed with 64 meters of spatial resolution, reprojected and cropped to BDC_LG grid Version 2 (BDC_LG V2), considering a temporal compositing function of 16 days using the Least Cloud Cover First (LCF) best pixel approach.

Sentinel-2 image mosaic of Brazil with 10m of spatial resolution. It uses True color composition based on the MSI bands 04, 03 and 02 assigned to RGB channels. It's input is the 16 days Least Cloud Cover First (LCF) datacube. More information on LCF can be found at Brazil Data Cube web site (https://brazil-data-cube.github.io/specifications/processing-flow.html#temporal-compositing).

Sentinel-2 image mosaic of Brazil with 10m of spatial resolution. More information on LCF can be found at Brazil Data Cube web site (https://brazil-data-cube.github.io/specifications/processing-flow.html#temporal-compositing).

AMAZONIA-1/WFI - Level-2 Digital Number product. Level 2 products have radiometric correction and geometric correction using satellite ephemeris and attitude data (system correction).

High-Resolution Projections of Climate Change over South America.